A New Neural Approach of Supervised Change Detection in SAR Images Using Training Data Generation with Concurrent Self-Organizing Maps.
Victor-Emil NeagoeRadu-Mihai StoicaPublished in: IGARSS (2018)
Keyphrases
- change detection
- self organizing maps
- data generation
- sar images
- gamma distributions
- synthetic aperture radar
- unsupervised learning
- data streams
- neural network
- supervised learning
- remote sensing images
- remote sensing
- image registration
- satellite images
- training set
- wavelet domain
- semi supervised
- learning algorithm
- streaming data
- edge detector
- active learning
- sar imagery
- input data
- concept drift
- data sets
- k means
- multiscale
- image reconstruction
- image processing
- dimensionality reduction
- feature selection
- machine learning